Jing Dai

130 total papers · 1.3k total citations
69 papers, 843 citations indexed

About

Jing Dai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Jing Dai has authored 69 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 28 papers in Control and Systems Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Jing Dai's work include HVDC Systems and Fault Protection (18 papers), Microgrid Control and Optimization (14 papers) and High-Voltage Power Transmission Systems (10 papers). Jing Dai is often cited by papers focused on HVDC Systems and Fault Protection (18 papers), Microgrid Control and Optimization (14 papers) and High-Voltage Power Transmission Systems (10 papers). Jing Dai collaborates with scholars based in China, France and United States. Jing Dai's co-authors include Yingchun Wang, Huaguang Zhang, Yang Liu, Huaguang Zhang, Alain Sarlette, Yannick Phulpin, Xavier Guillaud, Abdelkrim Benchaib, Qinglai Wei and Damien Ernst and has published in prestigious journals such as Automatica, IEEE Transactions on Industrial Electronics and Optics Express.

In The Last Decade

Jing Dai

56 papers receiving 818 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jing Dai	517	473	182	149	105	69	843
Jing Li	505 1.0×	357 0.8×	122 0.7×	126 0.8×	50 0.5×	34	917
Behrooz Rezaie	217 0.4×	488 1.0×	127 0.7×	52 0.3×	102 1.0×	79	727
Gabriel Kron	468 0.9×	257 0.5×	68 0.4×	96 0.6×	48 0.5×	29	808
Shixi Hou	475 0.9×	706 1.5×	80 0.4×	73 0.5×	152 1.4×	49	1000
Shugang Li	131 0.3×	593 1.3×	201 1.1×	270 1.8×	62 0.6×	37	788
Yunmei Fang	329 0.6×	632 1.3×	70 0.4×	42 0.3×	114 1.1×	43	915
Guoyong Shi	576 1.1×	209 0.4×	45 0.2×	135 0.9×	99 0.9×	132	894
Henry Hong	223 0.4×	787 1.7×	103 0.6×	114 0.8×	57 0.5×	42	989
Federico Bizzarri	659 1.3×	301 0.6×	64 0.4×	28 0.2×	130 1.2×	127	984
Junyi Li	475 0.9×	210 0.4×	573 3.1×	30 0.2×	129 1.2×	65	949

Countries citing papers authored by Jing Dai

Since Specialization

Citations

This map shows the geographic impact of Jing Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Dai more than expected).

Fields of papers citing papers by Jing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Dai. The network helps show where Jing Dai may publish in the future.

Co-authorship network of co-authors of Jing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Dai. A scholar is included among the top collaborators of Jing Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Dai. Jing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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